Jacob Ström

854 citations
32 papers · 648 · h-index 13

Impact in

Papers in

Jacob Ström

29 papers receiving 579 citations

Peers

Jacob Ström
Comparison fields: 5 of 44
  • Computer Graphics and Computer-Aided Design 248
  • Computer Vision and Pattern Recognition 517
  • Signal Processing 148
  • Hardware and Architecture 86
  • Human-Computer Interaction 19
Replace Erik Sintorn with:
Erik Sintorn Sweden
Justin Hensley United States
Euee S. Jang South Korea
Jesse D. Hall United States
J.G. Dunham United States
G. Schrack Canada
Reid Gershbein United States
Rhaleb Zayer Germany
Long-Wen Chang Taiwan
Takeshi Agui Japan
Jacob Ström relative to Erik Sintorn Sweden Erik Sintorn's profile →
Citations per field
00.5×3.6×
Erik Sintorn · 1×
Citations per year

Countries citing papers authored by Jacob Ström

Since Specialization
Citations

This map shows the geographic impact of Jacob Ström's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jacob Ström with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jacob Ström more than expected).

Fields of papers citing papers by Jacob Ström

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jacob Ström. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jacob Ström. The network helps show where Jacob Ström may publish in the future.

Co-authors

The 24 scholars most cited alongside Jacob Ström, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jacob Ström Line = papers co-authored together Jacob Ström links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 200398
2 200588
3 200365
4 199759
5 200850
6 200345
7 200738
8 200424
9 200221
10 201620
11 201118
12 201015
13 201714
14 201112
15 201611
16 200611
17 20089
18 20108
19 20098
20
Model-based head tracking and coding
20028

About Jacob Ström

Jacob Ström is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Signal Processing, Artificial Intelligence and Media Technology, having authored 32 papers that have together received 648 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (12 papers), Computer Graphics and Visualization Techniques (12 papers), Advanced Data Compression Techniques (11 papers), Video Coding and Compression Technologies (9 papers), Advanced Image and Video Retrieval Techniques (6 papers), Image and Signal Denoising Methods (5 papers), Algorithms and Data Compression (5 papers) and Image Enhancement Techniques (4 papers). The work is most often cited by research in Computer Graphics and Computer-Aided Design (248 citations), Computer Vision and Pattern Recognition (517 citations), Signal Processing (148 citations), Hardware and Architecture (86 citations) and Human-Computer Interaction (19 citations). Jacob Ström has collaborated with scholars based in Sweden, United States and Hungary. Frequent co-authors include Tomas Akenine‐Möller, Pamela C. Cosman, Alex Pentland, Sumit Basu, Tony Jebara, Edwin Olson, Saeed Yahyanejad, Jacob Munkberg, Rickard Sjöberg and Kenneth Andersson. Their work appears in journals such as The Visual Computer, Signal Processing, ACM Transactions on Multimedia Computing Communications and Applications, ACM Transactions on Graphics and Proceedings of the IEEE.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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